Automated Data Capture in Indoor Construction Sites

Automated Data Capture in Indoor Construction Sites

Reliable objective (i.e., cost, time, and scope) assessment of architecture, engineering, and construction (AEC) projects requires reliable data with respect to the as-built conditions. Manual data acquisition in such continually changing environments is laborious, costly, and error-prone. This project aims to develop an automated data capture system for indoor construction environments using multi-sensor autonomous unmanned aerial vehicles (UAVs). This requires the use of autonomous navigation, localization, and mapping algorithms in a GPS-denied indoor environment, while incorporating and updating the information available in the building information model (BIM). The application of such a system includes automated visual progress monitoring, visual inspection, quality control, and BIM updating.

 

Related Publications

University of Toronto Institute for Aerospace Studies